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All Journal Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal Penelitian Geografi (JPG)
Arief Pratama
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Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Earth & Planetary Sciences Environmental Science Social Sciences

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Faktor Penyebab Pernikahan Usia Muda di Pekon Pagarbukit Tahun 2016 Arief Pratama; Trisnaningsih Trisnaningsih; Yarmaidi Yarmaidi
JPG (Jurnal Penelitian Geografi) Vol 6, No 5 (2018): Jurnal Penelitian Geografi (JPG)
Publisher : JPG (Jurnal Penelitian Geografi)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (432.555 KB)

Abstract

The study aims to determine the factors that cause marriage at a young age in Pekon Pagarbukit Bangkunat Belimbing District Pesisir Barat  in 2016. The method in this study used descriptive research. The population in this study is young married perpetrators who numbered 58 people. Data collecting using questionnaire, interview and documentation. Data analysis used percentage tables as the basis of interpretation and is described as research report. The results of this study show that (1) the majority of the population who married at the young age due to the low education of parents, (2) some young marriage to the low level of education of young married offenders, (3) Some also due to the low level of family economy (4) some are due to the assumption that  unmarried girls are considered as family disgrace and promiscuity.Penelitian ini bertujuan untuk mengkaji faktor-faktor yang menyebabkan pernikahan pada usia muda di Pekon Pagarbukit Kecamatan Bangkunat Belimbing Kabupaten Pesisir Barat tahun 2016. Metode yang digunakan pada penelitian ini adalah penelitian deskriptif. Populasi pada penelitian ini adalah pelaku nikah muda yang berjumlah 58 jiwa. Pengumpulan data menggunakan kuesioner, wawancara dan dokumentasi. Analisis data menggunakan tabel persentase sebagai dasar interpretasi dan dideskripsikan sebagai laporan penelitian. Hasil penelitian menunjukkan bahwa (1) Sebagian penduduk yang menikah pada usia muda dikarenakan rendahnya pendidikan orang tua, (2) Sebagian pernikahan usia muda dikarenakan rendahnya tingkat pendidikan pelaku nikah muda, (3) Sebagian juga ada yang dikarenakan rendahnya tingkat ekonomi keluarga (4) dan ada pula yang dikarenakan adanya anggapan jika anak gadis belum menikah dianggap sebagai aib keluarga dan pergaulan bebas. Kata Kunci: faktor penyebab, pernikahan, usia muda
Classification of Positive and Negative Sentiments Using the K-Nearest Neighbor Algorithm on iQIYI Aplication Susy Rosyida; Arief Pratama
Sinkron : jurnal dan penelitian teknik informatika Vol. 7 No. 2 (2023): Research Article, Volume 7 Issue 2 April, 2023
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v8i2.12204

Abstract

In the current state of the Covid pandemic, the government has implemented restrictions on community activities or PPKM, which has an impact on the number of cinemas in the country temporarily closed to reduce the spread of the virus. The number of films that have been postponed for release due to this outbreak and also the decreasing use of VCDs / DVDs have made movie streaming applications begin to be favored by the public, one of which is the iQIYI movie streaming application. iQIYI is a movie streaming app launched in April 2010, so that users can know that the iQIYI application is considered good is to do a sentiment classification on the application. Therefore, this study aims to implement sentiment classification in review data using the K-Nearest Neighbor (K-NN) algorithm. K-NN itself is an algorithm that functions to classify data based on its learning data (train data sets). The data used is iQIYI user reviews as many as 400 review data, the first stage carried out is the data cleaning process or Pre-Processing, the next step is to design a K-NN algorithm model in RapidMiner Studio software to process sentiment classification. The test results using 400 review data using the K-NN algorithm obtained an Accuracy value of 99.50% then a Precision value of 100% and a Recall value of 99.44%. Which means that this study managed to get the best and best algortima in classifying positive reviews and negative reviews against the iQIYI application.
Co-Authors Susy Rosyida Trisnaningsih Trisnaningsih Yarmaidi Yarmaidi